Prepare Yourself for A High-Placement with Tableau Interview Questions

Tableau is a popular name among data analysts, programmers, and of course among the Business Intelligence industry. But have you ever asked yourself why is it so popular? There are a plethora of data visualization tools available in the market that will help you to represent raw data more directly.

 

Tableau is one such BI Tool in the field of data visualization, which is used by the Business Intelligence industry today. In this article, we have also prepared the top 20 well-researched Tableau Interview Questions. Before you make a move for any Tableau interview, make sure to go through these questions and answers thoroughly.

 

Why Is Tableau Considered As The Most Prominent Data Visualization Tool?

 

One of the most significant reasons for the popularitynof Tableau is its fast performance. The tool is used frequently as it can analyze data faster than any other data visualization tool.

 

In addition to that, the visualizations are produced as worksheets and dashboards, which can also be updated regularly. You can create a personalized dashboard in Tableau, and it will provide an actionable insight that will help you to expand your business rapidly. Let us take a look at some factors for which, the tableau is considered as the hottest BI Tools of 2020.

 

• Excellent Visualization Tableau comprises of few exceptional in-built features with which you can create various visualizations. You can also work with ample unordered data and acquire great context. Moreover, Tableau offers many ways by which you can explore the data and drill them within a couple of minutes.

 

• Demonstrated Insights While working with Tableau in analyzing future data, no organization has to keep any future goals in their minds. It means that you can observe data and explore visualizations from different approaches. You can also create a frame for ‘what-if’ queries with hypothetical visualizations. Also, with the add-on components for analysis and comparison, you may work on the data as per your convenience.

 

• Convenient Approach One of the most vital features of Tableau is the user-friendly approach. The function mainly demonstrates the capability of an individual to work with no coding or technical knowledge. Any beginner can work without any certain set of skills because Tableau mostly offers its features in the form of drag-and-drop. Also, each visualization in Tableau is self-depicting and in-built.

 

• Easy Set-up for Data Tableau can add any new data sets quickly and without any hassle. You may blend the data automatically with Tableau using standard fields.

 

• Supports Various Types of Data Sources In today's data-driven generation, data can be extracted from any sources. Thus, this is the reason why Tableau has become a must-add factor in the process by most enterprises. It is the only feature that makes Tableau more robust and powerful than any other Analytics tools and Business Intelligence.

 

The tool lets you connect with various datanwarehouses, big data, data sources, non-relational, spreadsheet data cloudnfiles, and many other types of data. Tableau is such a tool that can blend anynkind of data to help any business generating eye-catchy visualizations.

 

So, if you are planning for your Business Intelligence career, then you must become well-versed with Tableau scenario based interview questions and answers.

 

Benefits of Tableau Certification

 

Tableau certification is the key to grow your career in the field of DatanScience. The Tableau certification is acceptable for analyzing forndata visualization. As a Tableau professional, you are expected to create andndesign a Tableau dashboard.

 

Therefore, this certification creates opportunities for users to use essential skill development. If you are serious and planning to move forward with Tableau, then along with Tableau certification, you must prepare for Tableau interview with Tableau practical interview questions.

 

The two primary streams-

• Tableau Servers
• Tableau Desktop

The Tableau Certification consists of delta exam, certified professionals, qualified associate, etc.

 

Job Roles in Tableau

Are you confused about which is the best-suited Tableau job role for you? Well, in Tableau's career, you get enough options to select as a job role. Here are some options which you might choose as a Tableau job role as per your convenience and skills:

 

 

• Business Intelligence Developer
• Data Analysts
• Business Intelligence Manager
• Business Intelligence Analysts
• Tableau Consultant
• Business Analysts

 

Today Tableau is enlarging the automation of cataloging, mapping, natural language process, cloud, collaboration, and many more. For the performance of the big data, the data engines design its significance. Today small IT companies are often seen suffering from issues in Cloud Computing Trends. Experienced Tableau developers create the solution of data visualization to enhance the business process. Therefore, Tableau Certification is associated with various types of examinations.

 

Q1. Define Tableau?

 

Tableau can be defined as a Business Intelligence or BI tool which is used for visualizing and analyzing the data. Tableau helps to connect with files and relational data sources to collect data from them and process them.

 

• It simplifies the raw data and represents them in a more understandable format.
• Tableau analyzes the data robust and fast.
• Any user can build and distribute a shareable and interactive dashboard.
• It depicts the variations, trends, and density of the data. And eventually, convert the data in charts and graphic form.
• Tableau allows real-time collaboration and data blending, and that makes Tableau a unique BI tool.
• Tableau allows you to collect the respective data.

 

The diagrammatic representation and visualization of Tableau are so easy that it can be read by the working staff of the organization at different levels.

 

Q2.  Mention the key features of Tableau

 

Here are some of the coolest Tableau features:

• Real-Time Analysis
• Share Dashboards
• Data Blending
• DAX Analysis Function
• Dashboard Commenting
• Embed Dashboard Within
• Doesn’t Require Any Technical Knowledge
• Data Notifications And Data Collaboration
• Mobile-Ready Dashboards
• List Of Native Data Connectors
• Patented Technology From Stanford University
• Tableau Reader For Data Viewing
• Highlight And Filter Data
• Import Data Of All Size And Ranges
• Create No-Code Data Queries
• Toggle View And Drag And Drop Option
• Translate Queries To Visualization

 

Q3. State the primary difference between Tableau and Traditional BI Tools ?

 

Listed below are some essential differences between Table AU and BI Tools:

Tableau- has no dependencies.

Traditional BI Tools-nIts architecture has hardware limitations

Tableau- it is based on the associative search that makes Tableau fast and dynamic.

Traditional BI Tools- it is based on several complicated set ofntechnologies.

Tableau- it supports memory while using advanced technologies.

Traditional BI Tools- it does not support in multi-thread, memory,multi-computing like functions.

Tableau-it uses a wide range of predictive analysis to perform various business operations.

Traditional BI Tools- it comprises of a predefined view of data.

 

 

Q4. Briefly describe the Tableau dashboard

 

The Tableau dashboard allows you to compare multiplentypes of data simultaneously. If any modification takes place in the data, thendashboards and datasheets get connected, which eventually reflects in dashboards. It is one of the most effective approaches to analyze and visualizenthe data.

 

Q5. Define data visualization in Tableau

 

By data visualization, we mean the graphicalnrepresentation of any information or data. We may use visual objects such asncharts, graphics, bars, and many more. Data visualization tools give you accessnto observe and understand the data in a simple manner.

 

Q6. What is a dual-axis?

 

We use the dual-axis to see two axis in a single graph. The dual-axis allows you to make a comparison between two quantities at the same time. There is an ample number of websites that use dual-axis to observe the growth rate and comparison.

 

Q7. What are the various types of connections inTableau?

 

Mainly there are two primary connection types in Tableau. Let us take a look at them.

 

Live- itncan build a direct connection to the data source, and the data will bencollected directly from the tables. Therefore, the data will remain up to datenconsistently. However, it also affects the access speed significantly.

 

Extract- itnis a snapshot of data. It is extracted from the data source and placed intonTableau repository. The snapshot can be refreshed incrementally or completenperiodically. You can schedule it in Tableau server.

 

Q8. Mention the Tableau File Extensions

 

Here is a list of few File Extensions that support in Tableau:

• Tableau Map Source tms
• Tableau Workbook twb
• Tableau Preferences tps
• Tableau Data Extract tde
• Tableau Bookmark tdm
• Tableau Data Source tds
• Tableau Packaged Workbook- twbx Zip File That Contains twb And Other External Files
• Tableau Packaged Datasource tdsx

 

Q9. What do you mean by groups in Tableau?

 

A group in the tableau is the combination of membersnthat are capable of making categories of higher levels. If a certain set ofnviews shows the average score as a major, you can group them to create majorncategories.

 

Q10. What do you mean by Sets in Tableau?

 

Sets are customized fields that define data subsetnbased on several computing conditions. To understand better, let's take annexample as it may contain customer's details having sales above a certain predefined threshold. These sets are unique and update as data changes. It isnbased on a certain data point in your view.

 

Q11. What do you understand by Tableau Data Server?

 

Like any other server, the tableau data server alsonacts as a mediator between users and their data. It allows users to upload andnshare extracts of data. It also preserves database connection, and reusencomputations and field metadata.

 

Q12. What do you mean by filters in Tableau? And Hownmany types of filters?

 

Like their literal meaning, filters in Tableau worksnto filter unnecessary and redundant data. It shows only data of your concern.nThere are three major types of filters in Tableau.

• Context filter
• Data source filter
• Quick filter
• Normal filter

 

Q13. Brief the different types of filters in Tableau

 

Quick Filter- If you want to filter each worksheet on the dashboard where the values are changing dynamically in a predefined range, a Quick filter is the most suitable.

Normal Filter- It is the simplest form of filter which restricts the data from the database. Its function is based on predefined measures or dimensions. It can be created simply by dragging the field into the filter shelf.

Context filter- It applies to the data transferred to each worksheet individually. It creates temporary tables which are used in computing charts. It includes all the values which cannot be filtered by any other filters.

 

Q14. What makes context filter superior from others?

 

In case you create a context filter, Tableau creates antemporary table for a particular set of filters. They act as a cascadenparameter on the context filter. For example, if you create context filters on two particular regions, then tableau will create a temporary table for thosentwo region’s data. And if you have other filters, they applied on the data ofnthose two regions if you have context filter.

 

Q15. Point out the disadvantages of the contextnfilter?

 

The following are the major disadvantages of the contextnfilter.

 

• It is not easy to change the context filter frequently. If so, then the whole database must be recomputed, and you need to rewrite the temporary table. It slows down the performance.

 

• If you want to set a dimension to the context filter, Tableau creates a temporary folder, which needs to reload whenever you initiate the view. For Access, Excel, and text data sources, the temporary table can easily be created in access table format.

 

• But MySQL, SQL Server, and Oracle data sources you need to take permission each time to create a temporary folder on your server. More importantly, for multidimensional data sources, you cannot create a temporary table. Remember, this is the most vital and frequent question asked among other Tableau Interview Questions.

 

Q16. What do you understand by the Tableau DatanEngine?

 

Loading of entire data sets into memory is quitendifficult. Tableau data engine comes with the perfect solution to this problem.nIt is an analytical database that is designed for the purpose to achieveninstant query response, predictive performance, and seamless integration intonthe existing database.

The tableau data engine is used to speed up differentnfunctions like data import, indices creation, and sorting. It is helpful in thenconditions, particularly when you are working with a large amount of data.

 

Q17. How is Tableau better than all other availablenvisualization tools?

 

Visualization tools are used by many industries tonextract informative and useful data from raw data. In short, these tools arenthe software which analyses and draw useful information from raw andnunstructured data to establish business insight and increase sales. Tableau isnthe best visualization tools in comparison to other players in the market in many ways.

 

• Availability- Tableau is available as three major products – Desktop, online, and server.
• Ranking- Tableau holds number one rank with the highest rating.
• Speed- Generally, other visualization tools didn't work efficiently on large data also getting rapid business decisions.
• Accessibility- It is accessible on different platforms like a web browser, desktop, and cell phones, even on an iPad.
• User-friendly- It is easy to use and focuses on only the useful data after filter all the redundant.
• Customer base- Tableau has the largest customer base, which includes private commercial giants to government organizations. Some popular Companies are Amazon, Coca-Cola, Charles Schwab Corp, Dell, Citigroup, Ferrari, US Army, and Navy, and many more. The list is countless.

 

Q18. Show how to create a computed field in Tableau?

 

Go to data pane on the right side of the dashboard,nand click on the drop-down. Select create and then calculated field. It opensnthe calculation editor. Now name the new field and create a formula.

 

Q19. Brief about all the Tableau products

 

There are five major Tableau products.

1. Tableau Server- It is an enterprise-level software. To publish the dashboard, you need desktop Tableau. But to circulate this dashboard throughout the organization, you need to have a web-based Tableau server. It works rapidly on the live connection.
2. Tableau Desktop- It is easy to use and self-service visualization tools and business analytics. The significant feature of this product is to direct connection to data from the data warehouse for live data analysis. Tableau desktop helps users in performing queries without writing any code. You can import all the data from everywhere to the Tableau data engine, where you can complete the analysis to visualize the interactive dashboard.
3. Tableau Online- With this product, you can create a dashboard and share it online with anyone. It is based on the faster approach of visualization and business analytics.
4. Tableau Public- It is the free available product where you can create a dashboard, but you need to put it on the Tableau server to make the visual available for anyone.
5. Tableau Reader- It is a free desktop application, which can be used to see the visualization made on Tableau desktop. It restricts any edit or any kind of interaction, but you can filter or drill the data.

 

Q20. What are the different components of thendashboard in Tableau?

• Text
• Image Extract
• Horizontal
• Vertical
• URL Action

 

Top 10 Reasons Why Tableau Takes All the Credits

 

1. Tableau is an application that can fit any type of business
2. Tableau is the foremost and ultimate skillset for data science
3. Tableau integration is quick, easy and hassle-free
4. Tableau is user friendly even to those having minimum technical knowledge and required skills.
5. Coding comes as optional with Tableau. So, if you want, you can skip the coding part while working with Tableau.
6. You can marry Excel, but you cannot resist yourself from falling in love with Tableau
7. Tableau lets you explain all the data reports easily to anyone.
8. The community of Tableau is enormous.
9. Install Tableau anytime without giving a second thought.
10. Tableau influences the power of Data.

 

Bottom line

It is assumed that in upcoming years the world willnproduce fifty times the amount of data that was produced in the years 2011 , 2012. It will also consume seventy-five times the number of information sourcesnthan the data collected in the year 2011. For this, people must bring the powernof data at their fingertips. And that is what we are expecting from Tableau. Ifnyou are looking for a successful career in the Business Intelligence industry,nthen you must begin your preparation with Tableau Interview Questions.

However, these data favor the advancement of humans bynproving with tremendous opportunities. But the biggest question that lies in front of us is how to turn the opportunities into reality?

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